Abstract
In this paper, we propose a method for the detection of irregularities in time series, based on linear prediction. We demonstrate how we can estimate the linear predictor by solving the Yule Walker equations, and how we can combine several predictors in a simple mixture model. In several tests, we compare our model to a Gaussian mixture and a hidden Markov model approach. We successfully apply our method to event detection in a video sequence.
Originalsprache | Englisch |
---|---|
Titel | Pattern Recognition and Image Analysis |
Redakteure/-innen | Jordi Vitrià, João Miguel Sanches, Mario Hernández |
Seitenumfang | 8 |
Band | 6669 |
Erscheinungsort | Berlin, Heidelberg |
Herausgeber (Verlag) | Springer Berlin Heidelberg |
Erscheinungsdatum | 01.06.2011 |
Seiten | 25-32 |
ISBN (Print) | 978-3-642-21256-7 |
ISBN (elektronisch) | 978-3-642-21257-4 |
DOIs | |
Publikationsstatus | Veröffentlicht - 01.06.2011 |
Veranstaltung | 5th Iberian Conference on Pattern Recognition and Image Analysis - Las Palmas de Gran Canaria, Spanien Dauer: 08.06.2011 → 10.06.2011 Konferenznummer: 85429 |